About Me
Hi! My name is Naaman. I'm currently a Software Engineer at Palantir. I graduated from NUS with a double major in Computer Science and Economics in 2024.
I spend most of my time these days bouncing between my full time job and research work with Ryan Cotterell's group at ETH Zurich. Outside of work, I spend my time reading books, making meals and watching movies.
I'm always looking for fun and interesting projects to work on, so feel free to reach out to me and let's build something together.
Experience
Palantir Technologies (London)
Software Engineer, Aug 2024 - Present
Apple Inc.
Machine Learning Engineer Intern, Sept 2023 - Dec 2023
Palantir Technologies (London)
Software Engineer Intern, June 2023 - Aug 2023
Institute for Infocomm Research, A*STAR
Research Intern, Nov 2022 - Feb 2023
Hypotenuse AI
Full-Stack Software Engineer Intern, May 2022 - Aug 2022
Institute of Data Science, NUS
Undergraduate Researcher, Aug 2021 - Feb 2022
DSO National Laboratories
Machine Learning Engineer Intern, May 2021 - Aug 2021
Publications
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors
[Naaman Tan], Josef Valvoda, Anej Svete, Tianyu Liu, Yanxia Qin, Kan Min-Yen, Ryan Cotterell
Education
National University of Singapore
B.Comp. Computer Science (CAP: 4.84/5.00), 2019 - 2024
ETH Zurich (Exchange)
B.Comp. Computer Science, 2023 - 2023
Projects
NUS Notes and Reviews
A collection of my notes and reviews of the classes I took at NUS.
Oxford Map The System 2021
Led an interdiscplinary team of 5 to investigate how meritocracy in Singapore worsens inequality with a systems thinking approach. Won the national finals in May and placed 2nd in the global finals.
DJI RoboMaster Robotics Competition 2021
Led a team of 5 in developing 3 Standard Robots. Team placed 4th globally (1st in SEA) for RoboMasters University Championship Online Competition.
Asian Development Bank #DigitalAgainstCovid19 Hackathon 2020
Led a team of four in prototyping a integrated waste management solution based on p2p matching and machine learning. Drew a wireframe in Figma and implemented an waste image classification model based on MobileNet. Our team was a Top 10 finalist among 140+ international teams.
Shell ITF Scenarios Competition 2020
Led a team of five in collaboration with faculty members from LKYSPP in charting out how different energy scenarios would impact Asia and the Middle East.
Skills
Languages
Python • C/C++ • R • Java • Javascript/Typescript • HTML/CSS • SQL • Rust
Engineering Frameworks/Tools/Libraries
Express • FastAPI • React • Docker • Kubernetes • AWS (EC2, Sagemaker, SQS, SNS, DynamoDB) • Postgres • AtlasDB • conjure • graphQL
Machine Learning Frameworks/Tools/Libraries
PyTorch/Pytorch-Geometric • Tensorflow/Keras • Flax/Jax • CUDA • WandB • DagsHub
Latest Posts
I went on exchange
Singapore -> Zurich -> London
I'm dropping my second degree
Sunk cost fallacy is hard to resist :-(
Teaching CS2040 and CS3244 was not quite what I expected
It kinda surprised me pleasantly, actually
Reflecting on leaving mechanical engineering, two years later
In hindsight, one of the best choices I've made for myself